Thomson Reuters and Sentiment Analysis
April 20, 2010
Thomson Reuters has a public relations unit. Based on the comments in “Two Doses of Sentiment Analytics From Thomson Reuters”, the professional publishing, financial information, and news giant is breaking new ground in sentiment analysis. According to Greg Radner, head of PR services at Thomson Reuters:
what’s really required for this audience is moving from machine-readable to machine-learnable. “The next thing beyond sentiment analysis is understanding what the nature of those conversations are,” he says. “It’s only so helpful to be able to say something has a positive or negative tone, but that doesn’t itself give insight into the nature of the conversation, into what people are really saying.” Using Crimson Hexagon machine-learnable algorithms, ThomsonReuters’ Thomson ONE Public Relations workflow platform users can identify the conversations underway, aggregate them, and categorize them into different buckets. Users can train the engine with a little manual processing on the front end about how to categorize posts, and then have it happen automatically going forward.
I find the open source initiatives and its public relations services unit two interesting facets of Thomson Reuters. As margin pressures increase for publishing and information companies, Thomson Reuters is showing remarkable creativity. Software, not journalists or analysts, are helping the company provide information to its clients in financial services and pharmaceuticals.
Stephen E Arnold, April 20, 2010
A freebie.
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